Papers

13

Total Citations

310

H-Index

9

About

Sheng-Che Yen is a leading researcher in rehabilitation robotics and locomotor recovery, whose work has profoundly advanced the understanding of how robotic training can restore walking function after neurological injury. His research focuses on the intersection of robotic assistance, sensorimotor control, and neurorehabilitation, particularly for individuals with spinal cord injury (SCI) and post-stroke impairments. Yen’s most influential contributions include demonstrating that locomotor adaptation to robotic resistance during treadmill training can transfer to overground walking in SCI patients—a finding that has reshaped rehabilitation protocols. His pilot study on robotic resistance treadmill training for SCI (69 citations) and a randomized controlled trial on robotic resistance/assistance training for post-stroke individuals (58 citations) are landmark works, collectively cited over 200 times. Yen has also pioneered innovative platforms, including a cable-driven robotic training system and the Vi-RABT for ankle and balance assessment, and explored EEG-guided mirror therapy for lower limb rehabilitation. His recent work on telerobotics for sensorimotor rehabilitation reflects a forward-looking approach to scalable, trainer-informed therapy. Through these contributions, Yen has established himself as a key figure in translating robotic technology into clinically meaningful improvements in locomotor function.

Research Focus

Key Achievements

9
H-Index
13
Papers
310
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Locomotor adaptation to resistance during treadmill training transfers to overground walking in human SCI
77 citations · 2011
📈 Most Prolific Year: 2014 (3 Papers)
🤝 Key Collaborators: 38
🏛 Institutions: Shirley Ryan AbilityLab, Blue Dot Solutions (Poland), Northeastern University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago